Loading…
Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications
Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in t...
Saved in:
Published in: | IEEE access 2020, Vol.8, p.128106-128115 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c408t-1c1826ad3bc0445a3018c71ab262d0233048f39cca099561ce89c45219ef378e3 |
---|---|
cites | cdi_FETCH-LOGICAL-c408t-1c1826ad3bc0445a3018c71ab262d0233048f39cca099561ce89c45219ef378e3 |
container_end_page | 128115 |
container_issue | |
container_start_page | 128106 |
container_title | IEEE access |
container_volume | 8 |
creator | Abreu, Renato B. Pocovi, Guillermo Jacobsen, Thomas H. Centenaro, Marco Pedersen, Klaus I. Kolding, Troels E. |
description | Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in terms of latency and reliability, and also demands absolute time-synchronization and on-time delivery of packets for deterministic and isochronous real-time applications. In this regard, a key question is how to schedule TSC traffic flows effectively. This paper presents a radio resource allocation strategy for deterministic downlink TSC flows leveraging traffic pattern knowledge. Taking physical layer control channel effects into account, a comparison of semi-persistent and dynamic packet scheduling methods is presented as well as necessary enhancements to link adaptation and interference coordination procedures. With the proposed methods, the network capacity in terms of number of supported TSC flows can be more than doubled compared to traditional dynamic scheduling methods as commonly assumed for URLLC applications. |
doi_str_mv | 10.1109/ACCESS.2020.3008598 |
format | article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_9138407</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9138407</ieee_id><doaj_id>oai_doaj_org_article_7bd9f21f88834efc99d0e20852418d42</doaj_id><sourcerecordid>2454640797</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-1c1826ad3bc0445a3018c71ab262d0233048f39cca099561ce89c45219ef378e3</originalsourceid><addsrcrecordid>eNpNUU1LxDAQLaLgov4CLwHPXfPVNjlKXXVBUFg9h2w60azbRJNW8d-btYs4lxke770Z5hXFOcFzQrC8vGrbxWo1p5jiOcNYVFIcFDNKalmyitWH_-bj4iylDc4lMlQ1s0KtzCt049b5F7Twr9ob6MEPCWnfoUeINsR-B6LFp96OenDBo2DRdfjyWfOGqlv05HooV-CTG9wnoDb0_eid-eWm0-LI6m2Cs30_KZ5vFk_tXXn_cLtsr-5Lw7EYSmKIoLXu2NpgzivNMBGmIXpNa9phyhjmwjJpjMZSVjUxIKThFSUSLGsEsJNiOfl2QW_Ue3S9jt8qaKd-gRBflI6DM1tQzbqTlhIrhGAcrJGyw0Dz3ygnouM0e11MXu8xfIyQBrUJY_T5fEV5xWuOG9lkFptYJoaUIti_rQSrXTBqCkbtglH7YLLqfFI5APhTSMJEdmU_ClyIhw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454640797</pqid></control><display><type>article</type><title>Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications</title><source>IEEE Xplore Open Access Journals</source><creator>Abreu, Renato B. ; Pocovi, Guillermo ; Jacobsen, Thomas H. ; Centenaro, Marco ; Pedersen, Klaus I. ; Kolding, Troels E.</creator><creatorcontrib>Abreu, Renato B. ; Pocovi, Guillermo ; Jacobsen, Thomas H. ; Centenaro, Marco ; Pedersen, Klaus I. ; Kolding, Troels E.</creatorcontrib><description>Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in terms of latency and reliability, and also demands absolute time-synchronization and on-time delivery of packets for deterministic and isochronous real-time applications. In this regard, a key question is how to schedule TSC traffic flows effectively. This paper presents a radio resource allocation strategy for deterministic downlink TSC flows leveraging traffic pattern knowledge. Taking physical layer control channel effects into account, a comparison of semi-persistent and dynamic packet scheduling methods is presented as well as necessary enhancements to link adaptation and interference coordination procedures. With the proposed methods, the network capacity in terms of number of supported TSC flows can be more than doubled compared to traditional dynamic scheduling methods as commonly assumed for URLLC applications.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3008598</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>5G mobile communication ; Cellular communication ; Downlink ; Downlinking ; Dynamic scheduling ; Industrial applications ; Industry 4.0 ; Internet of Things ; Job shop scheduling ; link adaptation ; Network latency ; Network reliability ; packet scheduling ; Performance evaluation ; Reliability ; Resource allocation ; Resource management ; Schedules ; Scheduling ; semi-persistent scheduling ; Synchronism ; Time synchronization ; time-sensitive communications ; time-sensitive networks ; Traffic flow ; Ultra reliable low latency communication ; Wireless communications ; Wireless networks</subject><ispartof>IEEE access, 2020, Vol.8, p.128106-128115</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-1c1826ad3bc0445a3018c71ab262d0233048f39cca099561ce89c45219ef378e3</citedby><cites>FETCH-LOGICAL-c408t-1c1826ad3bc0445a3018c71ab262d0233048f39cca099561ce89c45219ef378e3</cites><orcidid>0000-0003-1664-8015 ; 0000-0003-0763-0112 ; 0000-0001-6184-7561 ; 0000-0003-2237-9034 ; 0000-0003-2339-7947 ; 0000-0003-3159-780X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9138407$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,4022,27632,27922,27923,27924,54932</link.rule.ids></links><search><creatorcontrib>Abreu, Renato B.</creatorcontrib><creatorcontrib>Pocovi, Guillermo</creatorcontrib><creatorcontrib>Jacobsen, Thomas H.</creatorcontrib><creatorcontrib>Centenaro, Marco</creatorcontrib><creatorcontrib>Pedersen, Klaus I.</creatorcontrib><creatorcontrib>Kolding, Troels E.</creatorcontrib><title>Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications</title><title>IEEE access</title><addtitle>Access</addtitle><description>Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in terms of latency and reliability, and also demands absolute time-synchronization and on-time delivery of packets for deterministic and isochronous real-time applications. In this regard, a key question is how to schedule TSC traffic flows effectively. This paper presents a radio resource allocation strategy for deterministic downlink TSC flows leveraging traffic pattern knowledge. Taking physical layer control channel effects into account, a comparison of semi-persistent and dynamic packet scheduling methods is presented as well as necessary enhancements to link adaptation and interference coordination procedures. With the proposed methods, the network capacity in terms of number of supported TSC flows can be more than doubled compared to traditional dynamic scheduling methods as commonly assumed for URLLC applications.</description><subject>5G mobile communication</subject><subject>Cellular communication</subject><subject>Downlink</subject><subject>Downlinking</subject><subject>Dynamic scheduling</subject><subject>Industrial applications</subject><subject>Industry 4.0</subject><subject>Internet of Things</subject><subject>Job shop scheduling</subject><subject>link adaptation</subject><subject>Network latency</subject><subject>Network reliability</subject><subject>packet scheduling</subject><subject>Performance evaluation</subject><subject>Reliability</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>Schedules</subject><subject>Scheduling</subject><subject>semi-persistent scheduling</subject><subject>Synchronism</subject><subject>Time synchronization</subject><subject>time-sensitive communications</subject><subject>time-sensitive networks</subject><subject>Traffic flow</subject><subject>Ultra reliable low latency communication</subject><subject>Wireless communications</subject><subject>Wireless networks</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1LxDAQLaLgov4CLwHPXfPVNjlKXXVBUFg9h2w60azbRJNW8d-btYs4lxke770Z5hXFOcFzQrC8vGrbxWo1p5jiOcNYVFIcFDNKalmyitWH_-bj4iylDc4lMlQ1s0KtzCt049b5F7Twr9ob6MEPCWnfoUeINsR-B6LFp96OenDBo2DRdfjyWfOGqlv05HooV-CTG9wnoDb0_eid-eWm0-LI6m2Cs30_KZ5vFk_tXXn_cLtsr-5Lw7EYSmKIoLXu2NpgzivNMBGmIXpNa9phyhjmwjJpjMZSVjUxIKThFSUSLGsEsJNiOfl2QW_Ue3S9jt8qaKd-gRBflI6DM1tQzbqTlhIrhGAcrJGyw0Dz3ygnouM0e11MXu8xfIyQBrUJY_T5fEV5xWuOG9lkFptYJoaUIti_rQSrXTBqCkbtglH7YLLqfFI5APhTSMJEdmU_ClyIhw</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Abreu, Renato B.</creator><creator>Pocovi, Guillermo</creator><creator>Jacobsen, Thomas H.</creator><creator>Centenaro, Marco</creator><creator>Pedersen, Klaus I.</creator><creator>Kolding, Troels E.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1664-8015</orcidid><orcidid>https://orcid.org/0000-0003-0763-0112</orcidid><orcidid>https://orcid.org/0000-0001-6184-7561</orcidid><orcidid>https://orcid.org/0000-0003-2237-9034</orcidid><orcidid>https://orcid.org/0000-0003-2339-7947</orcidid><orcidid>https://orcid.org/0000-0003-3159-780X</orcidid></search><sort><creationdate>2020</creationdate><title>Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications</title><author>Abreu, Renato B. ; Pocovi, Guillermo ; Jacobsen, Thomas H. ; Centenaro, Marco ; Pedersen, Klaus I. ; Kolding, Troels E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-1c1826ad3bc0445a3018c71ab262d0233048f39cca099561ce89c45219ef378e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>5G mobile communication</topic><topic>Cellular communication</topic><topic>Downlink</topic><topic>Downlinking</topic><topic>Dynamic scheduling</topic><topic>Industrial applications</topic><topic>Industry 4.0</topic><topic>Internet of Things</topic><topic>Job shop scheduling</topic><topic>link adaptation</topic><topic>Network latency</topic><topic>Network reliability</topic><topic>packet scheduling</topic><topic>Performance evaluation</topic><topic>Reliability</topic><topic>Resource allocation</topic><topic>Resource management</topic><topic>Schedules</topic><topic>Scheduling</topic><topic>semi-persistent scheduling</topic><topic>Synchronism</topic><topic>Time synchronization</topic><topic>time-sensitive communications</topic><topic>time-sensitive networks</topic><topic>Traffic flow</topic><topic>Ultra reliable low latency communication</topic><topic>Wireless communications</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abreu, Renato B.</creatorcontrib><creatorcontrib>Pocovi, Guillermo</creatorcontrib><creatorcontrib>Jacobsen, Thomas H.</creatorcontrib><creatorcontrib>Centenaro, Marco</creatorcontrib><creatorcontrib>Pedersen, Klaus I.</creatorcontrib><creatorcontrib>Kolding, Troels E.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Xplore Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abreu, Renato B.</au><au>Pocovi, Guillermo</au><au>Jacobsen, Thomas H.</au><au>Centenaro, Marco</au><au>Pedersen, Klaus I.</au><au>Kolding, Troels E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>128106</spage><epage>128115</epage><pages>128106-128115</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in terms of latency and reliability, and also demands absolute time-synchronization and on-time delivery of packets for deterministic and isochronous real-time applications. In this regard, a key question is how to schedule TSC traffic flows effectively. This paper presents a radio resource allocation strategy for deterministic downlink TSC flows leveraging traffic pattern knowledge. Taking physical layer control channel effects into account, a comparison of semi-persistent and dynamic packet scheduling methods is presented as well as necessary enhancements to link adaptation and interference coordination procedures. With the proposed methods, the network capacity in terms of number of supported TSC flows can be more than doubled compared to traditional dynamic scheduling methods as commonly assumed for URLLC applications.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.3008598</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1664-8015</orcidid><orcidid>https://orcid.org/0000-0003-0763-0112</orcidid><orcidid>https://orcid.org/0000-0001-6184-7561</orcidid><orcidid>https://orcid.org/0000-0003-2237-9034</orcidid><orcidid>https://orcid.org/0000-0003-2339-7947</orcidid><orcidid>https://orcid.org/0000-0003-3159-780X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2169-3536 |
ispartof | IEEE access, 2020, Vol.8, p.128106-128115 |
issn | 2169-3536 2169-3536 |
language | eng |
recordid | cdi_ieee_primary_9138407 |
source | IEEE Xplore Open Access Journals |
subjects | 5G mobile communication Cellular communication Downlink Downlinking Dynamic scheduling Industrial applications Industry 4.0 Internet of Things Job shop scheduling link adaptation Network latency Network reliability packet scheduling Performance evaluation Reliability Resource allocation Resource management Schedules Scheduling semi-persistent scheduling Synchronism Time synchronization time-sensitive communications time-sensitive networks Traffic flow Ultra reliable low latency communication Wireless communications Wireless networks |
title | Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T10%3A42%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Scheduling%20Enhancements%20and%20Performance%20Evaluation%20of%20Downlink%205G%20Time-Sensitive%20Communications&rft.jtitle=IEEE%20access&rft.au=Abreu,%20Renato%20B.&rft.date=2020&rft.volume=8&rft.spage=128106&rft.epage=128115&rft.pages=128106-128115&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2020.3008598&rft_dat=%3Cproquest_ieee_%3E2454640797%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c408t-1c1826ad3bc0445a3018c71ab262d0233048f39cca099561ce89c45219ef378e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2454640797&rft_id=info:pmid/&rft_ieee_id=9138407&rfr_iscdi=true |